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Soft Computing
Erschienen in: Soft Computing 6/2014

01.06.2014 | Methodologies and Application

New measures of homogeneity for image processing: an application to fingerprint segmentation

verfasst von: A. Jurio, H. Bustince, M. Pagola, P. Couto, W. Pedrycz

Erschienen in: Soft Computing | Ausgabe 6/2014

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Abstract

In this work, we axiomatically describe the concepts of total homogeneity and local homogeneity of a fuzzy set. We also present different construction methods by means of restricted equivalence functions, restricted dissimilarity functions and implication operators. We show that the most common homogeneity expressions can be obtained as particular cases of the constructions developed here. The usefulness of these functions is shown in segmentation of fingerprint images.
Vorheriger Artikel Lexicographic product vs -perfect and -perfect pseudo effect algebras
Nächster Artikel Constructive and axiomatic approaches to hesitant fuzzy rough set

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Metadaten
Titel
New measures of homogeneity for image processing: an application to fingerprint segmentation
verfasst von
A. Jurio
H. Bustince
M. Pagola
P. Couto
W. Pedrycz
Publikationsdatum
01.06.2014
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 6/2014
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-013-1126-3

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